Lyria 3 by Google. The musical face of Gemini! – AI News – #4 February 2026

4min.

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23 February 2026

Lyria 3 by Google. The musical face of Gemini! – AI News – #4 February 2026d-tags
Google has officially integrated its state-of-the-art generative model, Lyria 3, into the Gemini app, allowing users to create fully produced, 30-second music tracks with vocals and cover art from simple text prompts or uploaded media in seconds. While this powerful tool democratizes music creation and enhances YouTube Shorts through the Dream Track feature, it also sparks serious industry concerns. The looming flood of AI-generated music on streaming platforms poses a direct and growing threat to niche artists, who now face an unfair battle against algorithms and mass-produced content.

4min.

Comments:0

23 February 2026

How Lyria 3 works in the Gemini app environment

From now on, the Gemini app doesn’t just seamlessly generate text, images, and video; it becomes a comprehensive, multimedia assistant. The latest Lyria 3 model, developed by engineers at Google DeepMind, is currently rolling out in beta for users 18 and older. It allows for the instant creation of short, catchy, and technically advanced tracks ready to be shared on social media.

The most important capabilities and features of the new model include:

  • Generating full tracks from text, photos, and videos: You don’t have to limit yourself to dry commands. You can describe your idea (e.g., “a comical R&B slow jam about a lost sock” or “a nostalgic afrobeat reminding me of home-cooked plantains”), and the system will generate the music. Moreover, you can simply upload a holiday photo or a short video of your dog, and Gemini will analyze the visual content to compose a track that perfectly captures its mood.
  • No need to write lyrics: Lyria 3 does it for you. The model independently writes lyrics tailored to the given topic and generates incredibly natural-sounding vocals.
  • Deep control over the composition: The creator has complete freedom to modify the musical style, adjust the tempo, and choose the vocal characteristics, allowing for the creation of more complex and realistic soundtracks.
  • Unique visual artwork by Nano Banana: Every 30-second track automatically receives a custom-generated cover art. This is powered by the integrated Nano Banana image model, making it aesthetically pleasing and easy to share your creations with friends.

The tool is already available in several languages, including English, German, Spanish, French, Japanese, and Portuguese, with Google planning further expansion.

The expansion of the Dream Track feature on YouTube and its impact on creators

In parallel, the powerful capabilities of the Lyria 3 model are being handed to video creators as part of the global expansion of the Dream Track feature on YouTube. This option, which until now was tested primarily in the United States, makes it much easier and faster to create personalized, professional-sounding backing tracks for short-form videos (YouTube Shorts). This allows creators to generate unique verses or background music that perfectly matches the dynamics of their content, taking viewer engagement to a whole new level.

Labeling AI content and the complex issue of copyright

The development of such powerful generative tools in the music industry must go hand in hand with responsibility and respect for intellectual property. Google emphasizes that Lyria 3 was designed exclusively as a tool for original expression, not a machine for directly copying and mimicking specific artists. If you include a well-known musician’s name in your prompt, the algorithm will treat it only as a broad, loose stylistic inspiration, and built-in filters are in place to prevent plagiarism.

To maintain full transparency and effectively combat abuse, specific preventive measures have been introduced:

  • SynthID watermark: Absolutely every track generated by Google’s new tools features an embedded digital watermark that is imperceptible to the human ear. It allows for the flawless identification of the content as an artificial intelligence creation.
  • Audio verification feature: The Gemini app itself has received a new, highly useful capability to analyze audio files. A user can upload any track and ask the artificial intelligence if it was created using Google AI—the system will scan the file for traces of SynthID.

The dark side of artificial intelligence. What about niche artists on Spotify?

Despite the technological awe and obvious benefits for internet creators, we must face the truth: the growing power of artificial intelligence in music also has a very dark side. We are talking primarily about the very real phenomenon of flooding major streaming platforms (such as Spotify, Apple Music, or Tidal) with hundreds of thousands of tracks generated massively and algorithmically.

For niche, independent artists, this represents a direct, sometimes even existential, threat. Real musicians dedicate enormous effort, spend hours in rehearsals, pay for expensive studio time, invest in mixing and mastering, and finally incur significant financial costs to promote their work. Unfortunately, it is now incredibly easy for a person with zero musical skills to generate dozens of songs a day and sign as the “creator” under something that was made—to put it bluntly—shamelessly and without the slightest effort.

The consequences are brutal:

  • Fighting the algorithm: Recommendation systems on streaming platforms often favor quantity, regular publishing, and rapid accumulation of plays. Mass-generated filler pushes valuable music off playlists.
  • Drop in reach and recognition: Niche creators, despite creating ambitious art, drown in an ocean of mediocre AI music, losing the chance to reach new listeners.
  • The music industry’s reaction: Major record labels are already fighting legal battles over the copyright of materials used to train the models. Some platforms, like Deezer, are introducing their own rigorous tools to label and filter AI-generated music to limit artificial play-count inflation and protect royalty pools for real creators.

While the democratization of the creative process sounds beautiful, the current situation raises very serious and fully justified questions about the future value of human creativity. It also highlights the burning need to implement new, global regulations in the music market.

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Source of information: https://deepmind.google/models/lyria/

Author
Maciej Jakubiec - Junior SEO Specialist
Author
Maciej Jakubiec

SEO Specialist

A marketing graduate specializing in e-commerce from the University of Economics in Kraków – part of Delante’s SEO team since 2022. A firm believer in the importance of well-crafted content, and apart from being an SEO, a passionate music producer crafting sounds since his early teens.

Author
Maciej Jakubiec - Junior SEO Specialist
Author
Maciej Jakubiec

SEO Specialist

A marketing graduate specializing in e-commerce from the University of Economics in Kraków – part of Delante’s SEO team since 2022. A firm believer in the importance of well-crafted content, and apart from being an SEO, a passionate music producer crafting sounds since his early teens.